FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890512980> ?p ?o ?g. }

• W2890512980 endingPage "78" @default.
• W2890512980 startingPage "73" @default.
• W2890512980 abstract "Forecasting streamflow values is of great importance in hydrology and water resources engineering as it affects the water related inflow-demand management, dam structure design and river engineering studies. Apart from using some physics-based models of this parameter forecast, using the previously recorded streamflow values for forecasting the future values would be very interesting, as only streamflow time series will be needed there. The present study aimed at assessing three heuristic data driven approaches, namely, gene expression programming (GEP), support vector machine (SVM) and interactive trees (IT) in forecasting monthly streamflow records. Monthly data from Soofi-Chai river in Iran covering a period of 13 years were used and a local k-fold testing cross validation process was adopted for training and testing the applied models. The obtained results revealed that all the applied models could predict riverflow time series with good accuracy. The results also showed the importance of defining a through train-test block mode (here, k-fold testing) to get a better insight about the applied models." @default.
• W2890512980 created "2018-09-27" @default.
• W2890512980 creator A5008613377 @default.
• W2890512980 creator A5034064114 @default.
• W2890512980 creator A5037999986 @default.
• W2890512980 date "2018-09-05" @default.
• W2890512980 modified "2023-10-01" @default.
• W2890512980 title "Forecasting monthly streamflows using heuristic models" @default.
• W2890512980 cites W1573528873 @default.
• W2890512980 cites W1590685006 @default.
• W2890512980 cites W1983283974 @default.
• W2890512980 cites W1996750440 @default.
• W2890512980 cites W1997052296 @default.
• W2890512980 cites W1998300065 @default.
• W2890512980 cites W1998863178 @default.
• W2890512980 cites W2010004439 @default.
• W2890512980 cites W2011412119 @default.
• W2890512980 cites W2017703815 @default.
• W2890512980 cites W2020618019 @default.
• W2890512980 cites W2034908427 @default.
• W2890512980 cites W2051005757 @default.
• W2890512980 cites W2055107850 @default.
• W2890512980 cites W2059666149 @default.
• W2890512980 cites W2072697915 @default.
• W2890512980 cites W2089342818 @default.
• W2890512980 cites W2133735282 @default.
• W2890512980 cites W2143286038 @default.
• W2890512980 cites W2143958316 @default.
• W2890512980 cites W2156909104 @default.
• W2890512980 cites W2254993287 @default.
• W2890512980 cites W2332474383 @default.
• W2890512980 cites W2605471345 @default.
• W2890512980 cites W2607361996 @default.
• W2890512980 cites W2744317396 @default.
• W2890512980 cites W2770179522 @default.
• W2890512980 cites W4233948460 @default.
• W2890512980 cites W4237467407 @default.
• W2890512980 doi "https://doi.org/10.1080/09715010.2018.1516575" @default.
• W2890512980 hasPublicationYear "2018" @default.
• W2890512980 type Work @default.
• W2890512980 sameAs 2890512980 @default.
• W2890512980 citedByCount "4" @default.
• W2890512980 countsByYear W28905129802021 @default.
• W2890512980 countsByYear W28905129802022 @default.
• W2890512980 countsByYear W28905129802023 @default.
• W2890512980 crossrefType "journal-article" @default.
• W2890512980 hasAuthorship W2890512980A5008613377 @default.
• W2890512980 hasAuthorship W2890512980A5034064114 @default.
• W2890512980 hasAuthorship W2890512980A5037999986 @default.
• W2890512980 hasConcept C119857082 @default.
• W2890512980 hasConcept C12267149 @default.
• W2890512980 hasConcept C126645576 @default.
• W2890512980 hasConcept C127313418 @default.
• W2890512980 hasConcept C127413603 @default.
• W2890512980 hasConcept C143724316 @default.
• W2890512980 hasConcept C151730666 @default.
• W2890512980 hasConcept C153294291 @default.
• W2890512980 hasConcept C153823671 @default.
• W2890512980 hasConcept C154945302 @default.
• W2890512980 hasConcept C173801870 @default.
• W2890512980 hasConcept C187320778 @default.
• W2890512980 hasConcept C18903297 @default.
• W2890512980 hasConcept C205649164 @default.
• W2890512980 hasConcept C2524010 @default.
• W2890512980 hasConcept C2776132308 @default.
• W2890512980 hasConcept C2777210771 @default.
• W2890512980 hasConcept C33923547 @default.
• W2890512980 hasConcept C39432304 @default.
• W2890512980 hasConcept C41008148 @default.
• W2890512980 hasConcept C53739315 @default.
• W2890512980 hasConcept C58640448 @default.
• W2890512980 hasConcept C6980683 @default.
• W2890512980 hasConcept C76886044 @default.
• W2890512980 hasConcept C86803240 @default.
• W2890512980 hasConceptScore W2890512980C119857082 @default.
• W2890512980 hasConceptScore W2890512980C12267149 @default.
• W2890512980 hasConceptScore W2890512980C126645576 @default.
• W2890512980 hasConceptScore W2890512980C127313418 @default.
• W2890512980 hasConceptScore W2890512980C127413603 @default.
• W2890512980 hasConceptScore W2890512980C143724316 @default.
• W2890512980 hasConceptScore W2890512980C151730666 @default.
• W2890512980 hasConceptScore W2890512980C153294291 @default.
• W2890512980 hasConceptScore W2890512980C153823671 @default.
• W2890512980 hasConceptScore W2890512980C154945302 @default.
• W2890512980 hasConceptScore W2890512980C173801870 @default.
• W2890512980 hasConceptScore W2890512980C187320778 @default.
• W2890512980 hasConceptScore W2890512980C18903297 @default.
• W2890512980 hasConceptScore W2890512980C205649164 @default.
• W2890512980 hasConceptScore W2890512980C2524010 @default.
• W2890512980 hasConceptScore W2890512980C2776132308 @default.
• W2890512980 hasConceptScore W2890512980C2777210771 @default.
• W2890512980 hasConceptScore W2890512980C33923547 @default.
• W2890512980 hasConceptScore W2890512980C39432304 @default.
• W2890512980 hasConceptScore W2890512980C41008148 @default.
• W2890512980 hasConceptScore W2890512980C53739315 @default.
• W2890512980 hasConceptScore W2890512980C58640448 @default.
• W2890512980 hasConceptScore W2890512980C6980683 @default.
• W2890512980 hasConceptScore W2890512980C76886044 @default.

• next